Description Usage Arguments Details Value Examples
View source: R/SCE-functions.R
Add gene lengths to an SingleCellExperiment object
1 2 3 4 5 6 7 | addGeneLengths(
sce,
method = c("generate", "sample"),
loc = 7.9,
scale = 0.7,
lengths = NULL
)
|
sce |
SingleCellExperiment to add gene lengths to. |
method |
Method to use for creating lengths. |
loc |
Location parameter for the generate method. |
scale |
Scale parameter for the generate method. |
lengths |
Vector of lengths for the sample method. |
This function adds simulated gene lengths to the
rowData
slot of a
SingleCellExperiment
object that can be
used for calculating length normalised expression values such as TPM or FPKM.
The generate
method simulates lengths using a (rounded) log-normal
distribution, with the default loc
and scale
parameters based
on human protein-coding genes. Alternatively the sample
method can be
used which randomly samples lengths (with replacement) from a supplied
vector.
SingleCellExperiment with added gene lengths
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # Default generate method
sce <- simpleSimulate()
sce <- addGeneLengths(sce)
head(rowData(sce))
# Sample method (human coding genes)
## Not run:
library(TxDb.Hsapiens.UCSC.hg19.knownGene)
library(GenomicFeatures)
txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene
tx.lens <- transcriptLengths(txdb, with.cds_len = TRUE)
tx.lens <- tx.lens[tx.lens$cds_len > 0, ]
gene.lens <- max(splitAsList(tx.lens$tx_len, tx.lens$gene_id))
sce <- addGeneLengths(sce, method = "sample", lengths = gene.lens)
## End(Not run)
|
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